Deepfakes generation and detection: a short survey
Z Akhtar - Journal of Imaging, 2023 - mdpi.com
Advancements in deep learning techniques and the availability of free, large databases
have made it possible, even for non-technical people, to either manipulate or generate …
have made it possible, even for non-technical people, to either manipulate or generate …
Implicit identity driven deepfake face swapping detection
In this paper, we consider the face swapping detection from the perspective of face identity.
Face swapping aims to replace the target face with the source face and generate the fake …
Face swapping aims to replace the target face with the source face and generate the fake …
Deepfakes as a threat to a speaker and facial recognition: An overview of tools and attack vectors
Deepfakes present an emerging threat in cyberspace. Recent developments in machine
learning make deepfakes highly believable, and very difficult to differentiate between what is …
learning make deepfakes highly believable, and very difficult to differentiate between what is …
Implicit identity leakage: The stumbling block to improving deepfake detection generalization
In this paper, we analyse the generalization ability of binary classifiers for the task of
deepfake detection. We find that the stumbling block to their generalization is caused by the …
deepfake detection. We find that the stumbling block to their generalization is caused by the …
Detecting and grounding multi-modal media manipulation
Misinformation has become a pressing issue. Fake media, in both visual and textual forms,
is widespread on the web. While various deepfake detection and text fake news detection …
is widespread on the web. While various deepfake detection and text fake news detection …
Ost: Improving generalization of deepfake detection via one-shot test-time training
L Chen, Y Zhang, Y Song… - Advances in Neural …, 2022 - proceedings.neurips.cc
State-of-the-art deepfake detectors perform well in identifying forgeries when they are
evaluated on a test set similar to the training set, but struggle to maintain good performance …
evaluated on a test set similar to the training set, but struggle to maintain good performance …
High-resolution face swapping via latent semantics disentanglement
We present a novel high-resolution face swapping method using the inherent prior
knowledge of a pre-trained GAN model. Although previous research can leverage …
knowledge of a pre-trained GAN model. Although previous research can leverage …
Hififace: 3d shape and semantic prior guided high fidelity face swapping
In this work, we propose a high fidelity face swapping method, called HifiFace, which can
well preserve the face shape of the source face and generate photo-realistic results. Unlike …
well preserve the face shape of the source face and generate photo-realistic results. Unlike …
Blendface: Re-designing identity encoders for face-swapping
The great advancements of generative adversarial networks and face recognition models in
computer vision have made it possible to swap identities on images from single sources …
computer vision have made it possible to swap identities on images from single sources …
Styleswap: Style-based generator empowers robust face swapping
Numerous attempts have been made to the task of person-agnostic face swapping given its
wide applications. While existing methods mostly rely on tedious network and loss designs …
wide applications. While existing methods mostly rely on tedious network and loss designs …